Evidence map›Paper›PMID 34841460›Full record

ArticleJapanese journal of radiology2022

Can myocardial susceptibility quantification be an imaging biomarker for cardiac amyloidosis?

Hidetaka Hayashi, Seitaro Oda, Masafumi Kidoh, Takeshi Nakaura, Kosuke Morita, Yasunori Nagayama, Tetsuya Yoneda, Seiji Takashio, Yohei Misumi, Mitsuharu Ueda and 2 more

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hidetaka HayashiDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.
Seitaro OdaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan. seisei0430@nifty.com.
Masafumi KidohDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.
Takeshi NakauraDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.
Kosuke MoritaDepartment of Central Radiology, Kumamoto University Hospital, Kumamoto, Japan.
Yasunori NagayamaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.
Tetsuya YonedaDepartment of Medical Physics in Advanced Biomedical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Seiji TakashioDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yohei MisumiDepartment of Neurology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Mitsuharu UedaDepartment of Neurology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Toshinori HiraiDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate whether quantification of myocardial susceptibility by cardiac magnetic resonance imaging (CMR) can be an imaging biomarker for cardiac amyloidosis (CA). MATERIALS AND

methodsTwenty-six patients with CA underwent CMR, including magnetic phase imaging with a 3.0-T magnetic resonance imaging scanner. Myocardial susceptibility was quantified as a phase shift slope value by magnetic phase analysis. Those values from patients with CA were compared with corresponding values from 18 controls and 15 healthy volunteers. A univariate logistic regression analysis was conducted to identify significant parameters related to CA.

resultsThe phase shift slope, a quantitative parameter of myocardial susceptibility, was significantly lower in the CA group compared with the control group and compared with healthy volunteers (p < 0.01). From a total of 17 tested variables, 6 were considered to be significant predictors of CA (p ≤ 0.05) during the univariate analysis. The phase shift slope yielded the best AUC of 0.89 (95% CI = 0.79-0.98) for the prediction of CA (p < 0.01). The phase shift slope was significantly correlated with the end-diastolic thickness of the interventricular septum (r =  - 0.39, p < 0.01) and posterior wall of the left ventricle (r =  - 0.35, p = 0.02).

conclusionMyocardial susceptibility analysis by CMR helps in the diagnosis of patients with CA and can be a new quantitative imaging biomarker for CA.

Indexed as

AmyloidosisCardiomyopathiesBiomarkersHumansMagnetic Resonance Imaging, CineMyocardiumPredictive Value of TestsBiomarkersCardiac amyloidosisCardiac magnetic resonance imagingImaging biomarkerMyocardial susceptibility

Identifiers

PMID34841460
PMCPMC9068634

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.